Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:33:10.018593
Analysis finished2020-08-25 00:34:10.407457
Duration1 minute and 0.39 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.171603798866272e-09
Minimum-1.7194784879684448
Maximum1.6940857172012331
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:10.457167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.719478488
5-th percentile-1.529284483
Q1-0.9426175952
median0.02917291131
Q30.8911503106
95-th percentile1.508449072
Maximum1.694085717
Range3.413564205
Interquartile range (IQR)1.833767906

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)-853530861.4
Kurtosis-1.2434121
Mean-1.171603799e-09
Median Absolute Deviation (MAD)0.9057672918
Skewness-0.03446680044
Sum-5.858018994e-07
Variance0.9999999993
2020-08-25T00:34:10.562327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.181166067710.2%
 
-1.53977394110.2%
 
-1.30390572510.2%
 
1.47724497310.2%
 
1.3492573510.2%
 
1.02412223810.2%
 
0.217872336510.2%
 
1.52413165610.2%
 
-1.10030388810.2%
 
1.53585326710.2%
 
0.0697460323610.2%
 
1.39523506210.2%
 
-0.972303032910.2%
 
1.4778997910.2%
 
1.0417280210.2%
 
0.74528038510.2%
 
-1.37434005710.2%
 
-1.62767398410.2%
 
-1.09837818110.2%
 
-0.0567853413510.2%
 
0.709347128910.2%
 
-1.71947848810.2%
 
1.60229361110.2%
 
-1.49096822710.2%
 
1.30933344410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71947848810.2%
 
-1.71864104310.2%
 
-1.71641933910.2%
 
-1.71227145210.2%
 
-1.7024887810.2%
 
-1.70125794410.2%
 
-1.69203984710.2%
 
-1.68589472810.2%
 
-1.66311764710.2%
 
-1.6430056110.2%
 
ValueCountFrequency (%) 
1.69408571710.2%
 
1.66692745710.2%
 
1.66408085810.2%
 
1.66260290110.2%
 
1.65924084210.2%
 
1.65630340610.2%
 
1.6482837210.2%
 
1.64649546110.2%
 
1.63965737810.2%
 
1.633153210.2%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.9622966611620996e-09
Minimum-1.5949015617370603
Maximum1.7407975196838381
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:10.680946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.594901562
5-th percentile-1.464005959
Q1-0.9218759984
median-0.006935473299
Q30.866805464
95-th percentile1.589363152
Maximum1.74079752
Range3.335699081
Interquartile range (IQR)1.788681462

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-509606941.6
Kurtosis-1.256600818
Mean-1.962296661e-09
Median Absolute Deviation (MAD)0.9049530665
Skewness0.08889674769
Sum-9.811483306e-07
Variance1
2020-08-25T00:34:10.785697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.46483969710.2%
 
0.864582657810.2%
 
-1.2174067510.2%
 
-1.04621207710.2%
 
0.334626436210.2%
 
1.61975824810.2%
 
1.35999977610.2%
 
-0.197832271510.2%
 
0.109170317610.2%
 
0.0708402916810.2%
 
-1.05600285510.2%
 
-0.168499305810.2%
 
-0.284828931110.2%
 
-0.418130189210.2%
 
-1.36783552210.2%
 
-1.33269250410.2%
 
0.269222021110.2%
 
1.52994978410.2%
 
-0.475750654910.2%
 
-0.475356221210.2%
 
1.10808491710.2%
 
1.28060877310.2%
 
1.5974888810.2%
 
-0.0619716048210.2%
 
-1.13934612310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.59490156210.2%
 
-1.59224855910.2%
 
-1.57943654110.2%
 
-1.57436013210.2%
 
-1.57421350510.2%
 
-1.56338810910.2%
 
-1.5633367310.2%
 
-1.54184818310.2%
 
-1.54184472610.2%
 
-1.54098117410.2%
 
ValueCountFrequency (%) 
1.7407975210.2%
 
1.72670984310.2%
 
1.72583377410.2%
 
1.72123014910.2%
 
1.71944057910.2%
 
1.71256744910.2%
 
1.71018755410.2%
 
1.70981466810.2%
 
1.70632600810.2%
 
1.70174932510.2%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1669471877695514e-09
Minimum-1.6587529182434082
Maximum1.6537864208221436
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:10.901862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.658752918
5-th percentile-1.528055531
Q1-0.9087274373
median-0.00949404086
Q30.9280250967
95-th percentile1.498691159
Maximum1.653786421
Range3.312539339
Interquartile range (IQR)1.836752534

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-856936809.8
Kurtosis-1.281791917
Mean-1.166947188e-09
Median Absolute Deviation (MAD)0.9298620224
Skewness0.01382632881
Sum-5.834735939e-07
Variance1.000000001
2020-08-25T00:34:11.005717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.762694537610.2%
 
-1.27997338810.2%
 
-1.59610462210.2%
 
1.31898856210.2%
 
-1.60024368810.2%
 
1.49868333310.2%
 
0.431959569510.2%
 
0.68586814410.2%
 
0.0309549178910.2%
 
-0.114054031710.2%
 
-1.62825298310.2%
 
0.0751544237110.2%
 
-0.785484671610.2%
 
-1.05925846110.2%
 
-0.602029204410.2%
 
0.926121294510.2%
 
1.47535669810.2%
 
-0.146569624510.2%
 
0.245421916210.2%
 
-0.657573640310.2%
 
1.23367905610.2%
 
0.27326276910.2%
 
-0.109103150710.2%
 
-0.62340372810.2%
 
1.10032534610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65875291810.2%
 
-1.6562334310.2%
 
-1.64399445110.2%
 
-1.63954460610.2%
 
-1.63504743610.2%
 
-1.62825298310.2%
 
-1.62808275210.2%
 
-1.61866676810.2%
 
-1.60024368810.2%
 
-1.60003554810.2%
 
ValueCountFrequency (%) 
1.65378642110.2%
 
1.6441663510.2%
 
1.64038789310.2%
 
1.637489210.2%
 
1.62875926510.2%
 
1.62633681310.2%
 
1.6197233210.2%
 
1.61336803410.2%
 
1.58405208610.2%
 
1.58401715810.2%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.66427344083786e-09
Minimum-1.7018221616744995
Maximum1.776387095451355
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:11.124926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.701822162
5-th percentile-1.535941923
Q1-0.8365499079
median-0.01409938
Q30.8274647892
95-th percentile1.551378042
Maximum1.776387095
Range3.478209257
Interquartile range (IQR)1.664014697

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-600862802.1
Kurtosis-1.172296376
Mean-1.664273441e-09
Median Absolute Deviation (MAD)0.8353064954
Skewness0.008580206922
Sum-8.321367204e-07
Variance1.000000006
2020-08-25T00:34:11.230612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0971678718910.2%
 
-0.263349324510.2%
 
-0.938165247410.2%
 
-1.66664004310.2%
 
-1.28609728810.2%
 
-0.705394446810.2%
 
-1.39558112610.2%
 
-1.66147220110.2%
 
1.41470289210.2%
 
1.65494060510.2%
 
0.388833671810.2%
 
-1.70182216210.2%
 
1.42448055710.2%
 
1.11588883410.2%
 
1.14437043710.2%
 
0.609707057510.2%
 
-1.48121988810.2%
 
-0.695129334910.2%
 
-0.626311361810.2%
 
1.52802026310.2%
 
0.108763821410.2%
 
-0.86362785110.2%
 
1.34835314810.2%
 
0.634139895410.2%
 
0.596428751910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.70182216210.2%
 
-1.69388771110.2%
 
-1.69283723810.2%
 
-1.69200515710.2%
 
-1.69055068510.2%
 
-1.6849596510.2%
 
-1.68200612110.2%
 
-1.68146812910.2%
 
-1.67542529110.2%
 
-1.67277085810.2%
 
ValueCountFrequency (%) 
1.77638709510.2%
 
1.76265335110.2%
 
1.73213458110.2%
 
1.7243115910.2%
 
1.72374641910.2%
 
1.71927380610.2%
 
1.71261596710.2%
 
1.70818388510.2%
 
1.69000649510.2%
 
1.68630027810.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1047890186309815e-10
Minimum-1.7178486585617063
Maximum1.6419082880020142
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:11.349102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.717848659
5-th percentile-1.576914555
Q1-0.8542927206
median-0.005207719631
Q30.9013882577
95-th percentile1.495509583
Maximum1.641908288
Range3.359756947
Interquartile range (IQR)1.755680978

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-4751070020
Kurtosis-1.251295642
Mean-2.104789019e-10
Median Absolute Deviation (MAD)0.8680483379
Skewness-0.07644050558
Sum-1.052394509e-07
Variance1.000000001
2020-08-25T00:34:11.453443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.93066579110.2%
 
1.35413932810.2%
 
0.163402304110.2%
 
1.53769445410.2%
 
0.922171592710.2%
 
-0.449368268310.2%
 
-1.39903712310.2%
 
-1.22911715510.2%
 
0.003537412510.2%
 
0.00822925195110.2%
 
0.295564144810.2%
 
-1.0318665510.2%
 
-1.01038694410.2%
 
0.43099701410.2%
 
0.850421667110.2%
 
-1.4603103410.2%
 
-1.29950666410.2%
 
-0.0520826056610.2%
 
1.02085435410.2%
 
-0.177101969710.2%
 
1.47762310510.2%
 
-0.482583224810.2%
 
-0.687824904910.2%
 
-0.790367066910.2%
 
-0.241048678810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71784865910.2%
 
-1.71566140710.2%
 
-1.71154415610.2%
 
-1.71142935810.2%
 
-1.71013641410.2%
 
-1.70853304910.2%
 
-1.70314705410.2%
 
-1.69678044310.2%
 
-1.69322681410.2%
 
-1.68929982210.2%
 
ValueCountFrequency (%) 
1.64190828810.2%
 
1.63769841210.2%
 
1.63055837210.2%
 
1.62952566110.2%
 
1.60861325310.2%
 
1.59274160910.2%
 
1.58773183810.2%
 
1.58591198910.2%
 
1.58046853510.2%
 
1.57764673210.2%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6433186829090118e-09
Minimum-1.7407807111740112
Maximum1.7315361499786377
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:11.732100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.740780711
5-th percentile-1.597438085
Q1-0.8566061258
median0.08325372636
Q30.8450805694
95-th percentile1.484023976
Maximum1.73153615
Range3.472316861
Interquartile range (IQR)1.701686695

Descriptive statistics

Standard deviation0.9999999969
Coefficient of variation (CV)608524692.9
Kurtosis-1.190472712
Mean1.643318683e-09
Median Absolute Deviation (MAD)0.8324705958
Skewness-0.1170261625
Sum8.216593415e-07
Variance0.9999999938
2020-08-25T00:34:11.836880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.40820252910.2%
 
-0.18563130510.2%
 
0.965152084810.2%
 
-0.110512249210.2%
 
1.36194634410.2%
 
0.888006091110.2%
 
-0.493573069610.2%
 
-0.300453096610.2%
 
1.43814170410.2%
 
1.30533254110.2%
 
-1.52732229210.2%
 
0.427391439710.2%
 
1.24738192610.2%
 
0.665373027310.2%
 
1.05926406410.2%
 
1.43719077110.2%
 
-0.452330529710.2%
 
-1.60420000610.2%
 
-0.592140436210.2%
 
-1.20576536710.2%
 
-0.794291317510.2%
 
-0.440439462710.2%
 
-0.278982400910.2%
 
-0.496267914810.2%
 
-0.499198496310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74078071110.2%
 
-1.7286399610.2%
 
-1.72631418710.2%
 
-1.71656215210.2%
 
-1.71288561810.2%
 
-1.70649933810.2%
 
-1.70253217210.2%
 
-1.69950485210.2%
 
-1.69754266710.2%
 
-1.68859243410.2%
 
ValueCountFrequency (%) 
1.7315361510.2%
 
1.72541153410.2%
 
1.70814812210.2%
 
1.7074760210.2%
 
1.70400118810.2%
 
1.69065964210.2%
 
1.68511569510.2%
 
1.67753648810.2%
 
1.66763877910.2%
 
1.65111625210.2%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.395361661911011e-09
Minimum-1.6851996183395386
Maximum1.792716145515442
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:11.953855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.685199618
5-th percentile-1.501510876
Q1-0.8391499519
median-0.06515620835
Q30.8464838266
95-th percentile1.640470541
Maximum1.792716146
Range3.477915764
Interquartile range (IQR)1.685633779

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-417473492.6
Kurtosis-1.152358254
Mean-2.395361662e-09
Median Absolute Deviation (MAD)0.8462438714
Skewness0.09976950563
Sum-1.197680831e-06
Variance0.9999999983
2020-08-25T00:34:12.058285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.51171815410.2%
 
-1.34029412310.2%
 
-0.0129748387310.2%
 
0.345858961310.2%
 
-0.0158238168810.2%
 
-0.483555674610.2%
 
1.15102815610.2%
 
-1.57780301610.2%
 
-0.248861029710.2%
 
-1.41944789910.2%
 
1.19401824510.2%
 
0.823572814510.2%
 
-1.06120955910.2%
 
1.2682542810.2%
 
0.886086046710.2%
 
0.893901288510.2%
 
0.918598532710.2%
 
1.08272612110.2%
 
1.28641116610.2%
 
1.64132797710.2%
 
0.518907010610.2%
 
-1.51839172810.2%
 
0.698598623310.2%
 
-0.277363628110.2%
 
-1.31908094910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68519961810.2%
 
-1.68258929310.2%
 
-1.67908859310.2%
 
-1.6787949810.2%
 
-1.67048966910.2%
 
-1.66833174210.2%
 
-1.65645182110.2%
 
-1.65293645910.2%
 
-1.64941132110.2%
 
-1.64602959210.2%
 
ValueCountFrequency (%) 
1.79271614610.2%
 
1.78660011310.2%
 
1.78160762810.2%
 
1.7664451610.2%
 
1.76399886610.2%
 
1.76017320210.2%
 
1.75910246410.2%
 
1.75309824910.2%
 
1.75238978910.2%
 
1.75081360310.2%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.022172212600708e-10
Minimum-1.8387432098388672
Maximum1.7188297510147097
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:12.172756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.83874321
5-th percentile-1.658251584
Q1-0.7732941061
median0.03791096993
Q30.8336598128
95-th percentile1.532356179
Maximum1.718829751
Range3.557572961
Interquartile range (IQR)1.606953919

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1424060778
Kurtosis-1.113937213
Mean-7.022172213e-10
Median Absolute Deviation (MAD)0.7985003572
Skewness-0.09901741329
Sum-3.511086106e-07
Variance1.000000005
2020-08-25T00:34:12.278031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.64210867910.2%
 
0.123335480710.2%
 
0.157064065310.2%
 
-0.799156069810.2%
 
0.45475414410.2%
 
1.1920710810.2%
 
1.2799670710.2%
 
-0.341964721710.2%
 
1.31122314910.2%
 
1.25700402310.2%
 
-1.03285980210.2%
 
-0.153650507310.2%
 
-0.209559544910.2%
 
1.15695583810.2%
 
-0.5681309710.2%
 
-0.272641122310.2%
 
0.606843769610.2%
 
-1.46361839810.2%
 
-0.131769433610.2%
 
-0.695119440610.2%
 
1.34644615710.2%
 
1.15894901810.2%
 
-1.82888245610.2%
 
-0.0444852076510.2%
 
-0.899564683410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.8387432110.2%
 
-1.83815419710.2%
 
-1.83090877510.2%
 
-1.82888245610.2%
 
-1.81917214410.2%
 
-1.80335736310.2%
 
-1.78888988510.2%
 
-1.77897095710.2%
 
-1.73607432810.2%
 
-1.73082888110.2%
 
ValueCountFrequency (%) 
1.71882975110.2%
 
1.70092177410.2%
 
1.70015275510.2%
 
1.69051885610.2%
 
1.68642330210.2%
 
1.68132984610.2%
 
1.66237604610.2%
 
1.65469968310.2%
 
1.64210867910.2%
 
1.63842284710.2%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.998858690261841e-10
Minimum-1.6045633554458618
Maximum1.776703715324402
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:12.403651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.604563355
5-th percentile-1.462179518
Q1-0.8785890937
median-0.01645420911
Q30.871784851
95-th percentile1.577034605
Maximum1.776703715
Range3.381267071
Interquartile range (IQR)1.750373945

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-3334601933
Kurtosis-1.248298181
Mean-2.99885869e-10
Median Absolute Deviation (MAD)0.8720696867
Skewness0.1053112989
Sum-1.499429345e-07
Variance0.9999999972
2020-08-25T00:34:12.513868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.33984124710.2%
 
1.45770394810.2%
 
0.362951636310.2%
 
-1.10610365910.2%
 
1.50259065610.2%
 
-1.35220599210.2%
 
1.68619608910.2%
 
-1.27018225210.2%
 
0.0501183606710.2%
 
-1.59251546910.2%
 
1.10026991410.2%
 
-1.32878816110.2%
 
-0.501308977610.2%
 
0.970059156410.2%
 
0.22249357410.2%
 
-1.27042913410.2%
 
0.554071962810.2%
 
-0.789400756410.2%
 
1.02802085910.2%
 
1.02411711210.2%
 
-0.805728316310.2%
 
-0.745460748710.2%
 
0.705706775210.2%
 
1.34249389210.2%
 
1.01241767410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.60456335510.2%
 
-1.60170042510.2%
 
-1.59675586210.2%
 
-1.59577894210.2%
 
-1.59323084410.2%
 
-1.59251546910.2%
 
-1.58734655410.2%
 
-1.58510160410.2%
 
-1.58255171810.2%
 
-1.573324810.2%
 
ValueCountFrequency (%) 
1.77670371510.2%
 
1.77094578710.2%
 
1.77075934410.2%
 
1.75510048910.2%
 
1.74757516410.2%
 
1.72974491110.2%
 
1.7013776310.2%
 
1.69518065510.2%
 
1.69245588810.2%
 
1.69148457110.2%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1886080592281587e-10
Minimum-1.6955909729003906
Maximum1.718047022819519
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:12.629730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.695590973
5-th percentile-1.523044443
Q1-0.8900042474
median-0.05499100871
Q30.8510908931
95-th percentile1.550017452
Maximum1.718047023
Range3.413637996
Interquartile range (IQR)1.741095141

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-4569114140
Kurtosis-1.21325172
Mean-2.188608059e-10
Median Absolute Deviation (MAD)0.861685276
Skewness0.01205504398
Sum-1.09430403e-07
Variance1.000000006
2020-08-25T00:34:12.732542image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.64452767410.2%
 
-0.963692188310.2%
 
-1.303704510.2%
 
-1.59831678910.2%
 
-0.512030720710.2%
 
-1.07683062610.2%
 
1.26823973710.2%
 
0.294110953810.2%
 
-1.60222768810.2%
 
0.0935476645810.2%
 
-1.30145418610.2%
 
-0.304367542310.2%
 
-0.65463548910.2%
 
1.55341672910.2%
 
-1.00068998310.2%
 
-0.129481971310.2%
 
-0.152681082510.2%
 
-1.0632040510.2%
 
1.36203205610.2%
 
-0.967104315810.2%
 
0.95445895210.2%
 
1.27610695410.2%
 
-0.279477864510.2%
 
-1.4011166110.2%
 
-1.46361970910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.69559097310.2%
 
-1.69238269310.2%
 
-1.68758881110.2%
 
-1.67386627210.2%
 
-1.67217516910.2%
 
-1.67210662410.2%
 
-1.65640854810.2%
 
-1.64821505510.2%
 
-1.64452767410.2%
 
-1.6231019510.2%
 
ValueCountFrequency (%) 
1.71804702310.2%
 
1.70818698410.2%
 
1.69845414210.2%
 
1.68907308610.2%
 
1.68296098710.2%
 
1.67386555710.2%
 
1.67088055610.2%
 
1.66833114610.2%
 
1.66768968110.2%
 
1.65893900410.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.649372280532191e-09
Minimum-1.7437177896499634
Maximum1.6686639785766602
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:12.846725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.74371779
5-th percentile-1.592974669
Q1-0.8005927354
median0.02652419079
Q30.8550277352
95-th percentile1.481024021
Maximum1.668663979
Range3.412381768
Interquartile range (IQR)1.655620471

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)606291262.1
Kurtosis-1.195732627
Mean1.649372281e-09
Median Absolute Deviation (MAD)0.829152341
Skewness-0.1020651845
Sum8.246861403e-07
Variance1.000000003
2020-08-25T00:34:12.957464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.887695252910.2%
 
-0.505216598510.2%
 
1.63434195510.2%
 
-1.29164588510.2%
 
0.377600431410.2%
 
-1.32391405110.2%
 
-1.07553410510.2%
 
-0.769850730910.2%
 
0.749989509610.2%
 
1.18033254110.2%
 
-1.56705355610.2%
 
0.0543970018610.2%
 
1.16080868210.2%
 
1.0455769310.2%
 
0.251141965410.2%
 
-0.481613129410.2%
 
1.3151850710.2%
 
1.17645263710.2%
 
1.52731764310.2%
 
-0.235454633810.2%
 
0.57456278810.2%
 
0.7063995610.2%
 
-1.24365484710.2%
 
1.66866397910.2%
 
-0.571596443710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7437177910.2%
 
-1.72663986710.2%
 
-1.72357726110.2%
 
-1.71531534210.2%
 
-1.71515417110.2%
 
-1.70944595310.2%
 
-1.70567905910.2%
 
-1.70390236410.2%
 
-1.69495189210.2%
 
-1.68523061310.2%
 
ValueCountFrequency (%) 
1.66866397910.2%
 
1.65755569910.2%
 
1.64205884910.2%
 
1.63434195510.2%
 
1.62366056410.2%
 
1.62275481210.2%
 
1.62152755310.2%
 
1.62057530910.2%
 
1.61823594610.2%
 
1.61412489410.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1669471859931945e-09
Minimum-1.4220422506332395
Maximum3.946759462356568
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:13.076093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.422042251
5-th percentile-1.080584812
Q1-0.7290686965
median-0.3341120183
Q30.5619048774
95-th percentile2.001458633
Maximum3.946759462
Range5.368801713
Interquartile range (IQR)1.290973574

Descriptive statistics

Standard deviation0.9999999975
Coefficient of variation (CV)-856936808.8
Kurtosis1.051660531
Mean-1.166947186e-09
Median Absolute Deviation (MAD)0.5369162261
Skewness1.187626301
Sum-5.83473593e-07
Variance0.9999999951
2020-08-25T00:34:13.184625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.51177257310.2%
 
-0.792315125510.2%
 
-1.30136883310.2%
 
-0.54521691810.2%
 
-0.541312575310.2%
 
-0.791315674810.2%
 
-0.472807824610.2%
 
-0.680271804310.2%
 
0.0898818895210.2%
 
-0.263330966210.2%
 
-0.724831521510.2%
 
1.01890814310.2%
 
-0.712230980410.2%
 
-1.08071482210.2%
 
-0.920578420210.2%
 
-1.05534005210.2%
 
-0.314633697310.2%
 
-0.619473993810.2%
 
-0.401211351210.2%
 
-0.497726738510.2%
 
-0.995045006310.2%
 
-0.812840163710.2%
 
0.617529690310.2%
 
0.978171348610.2%
 
0.376150429210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.42204225110.2%
 
-1.33494114910.2%
 
-1.30136883310.2%
 
-1.27312254910.2%
 
-1.26015245910.2%
 
-1.24992299110.2%
 
-1.23806524310.2%
 
-1.23451471310.2%
 
-1.23260486110.2%
 
-1.22373545210.2%
 
ValueCountFrequency (%) 
3.94675946210.2%
 
3.48937368410.2%
 
3.46125030510.2%
 
3.41675376910.2%
 
3.15195560510.2%
 
2.96583938610.2%
 
2.89522957810.2%
 
2.88712191610.2%
 
2.7325658810.2%
 
2.72989940610.2%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.139759302139282e-10
Minimum-1.840901255607605
Maximum1.7608184814453125
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:13.296635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.840901256
5-th percentile-1.577936548
Q1-0.8086174726
median0.01521001616
Q30.8120518178
95-th percentile1.583044004
Maximum1.760818481
Range3.601719737
Interquartile range (IQR)1.62066929

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1228537556
Kurtosis-1.084903851
Mean-8.139759302e-10
Median Absolute Deviation (MAD)0.8120191395
Skewness-0.01013322022
Sum-4.069879651e-07
Variance1
2020-08-25T00:34:13.402472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.555663108810.2%
 
1.10804343210.2%
 
-0.866724014310.2%
 
-0.670308470710.2%
 
0.440576076510.2%
 
1.76035189610.2%
 
0.269680023210.2%
 
-0.746392607710.2%
 
0.707330882510.2%
 
1.7584155810.2%
 
1.66467189810.2%
 
-1.3717057710.2%
 
0.962584197510.2%
 
0.827457189610.2%
 
-0.890934884510.2%
 
-1.33851468610.2%
 
-1.35817933110.2%
 
1.7064040910.2%
 
-0.934884786610.2%
 
-0.459630608610.2%
 
-0.513014018510.2%
 
-0.569655954810.2%
 
0.555008590210.2%
 
1.04751765710.2%
 
1.48821020110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.84090125610.2%
 
-1.84030771310.2%
 
-1.8240590110.2%
 
-1.81922304610.2%
 
-1.80819845210.2%
 
-1.79507911210.2%
 
-1.79420864610.2%
 
-1.76649451310.2%
 
-1.76184499310.2%
 
-1.75463843310.2%
 
ValueCountFrequency (%) 
1.76081848110.2%
 
1.76035189610.2%
 
1.7584155810.2%
 
1.75147092310.2%
 
1.74878716510.2%
 
1.74627745210.2%
 
1.73706030810.2%
 
1.72825872910.2%
 
1.72242450710.2%
 
1.71621525310.2%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0707957446575165e-09
Minimum-1.767730951309204
Maximum1.7479324340820312
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:13.522879image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.767730951
5-th percentile-1.56742534
Q1-0.8231529146
median-0.09124350548
Q30.8908810318
95-th percentile1.548432392
Maximum1.747932434
Range3.515663385
Interquartile range (IQR)1.714033946

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)482906151.1
Kurtosis-1.192375461
Mean2.070795745e-09
Median Absolute Deviation (MAD)0.8598680496
Skewness0.03221435338
Sum1.035397872e-06
Variance1.000000005
2020-08-25T00:34:13.627671image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.89747488510.2%
 
0.212319642310.2%
 
-0.120521113310.2%
 
-0.111558459710.2%
 
1.2174112810.2%
 
-0.311189055410.2%
 
-0.283847838610.2%
 
0.463537275810.2%
 
0.579420924210.2%
 
-1.06960308610.2%
 
-1.65884649810.2%
 
0.712237179310.2%
 
-1.33762872210.2%
 
-0.0175577998210.2%
 
0.786960363410.2%
 
1.66473555610.2%
 
-0.481629639910.2%
 
-1.20830786210.2%
 
1.20380151310.2%
 
-0.374701261510.2%
 
1.22337639310.2%
 
1.25850284110.2%
 
0.605816543110.2%
 
-0.689739942610.2%
 
-1.66087734710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.76773095110.2%
 
-1.76426625310.2%
 
-1.74586963710.2%
 
-1.74154603510.2%
 
-1.73340249110.2%
 
-1.72560691810.2%
 
-1.72039592310.2%
 
-1.71602714110.2%
 
-1.71227741210.2%
 
-1.68998205710.2%
 
ValueCountFrequency (%) 
1.74793243410.2%
 
1.73885858110.2%
 
1.73297643710.2%
 
1.72092878810.2%
 
1.71943378410.2%
 
1.71498656310.2%
 
1.71395170710.2%
 
1.71391141410.2%
 
1.69309723410.2%
 
1.69165134410.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.243315637111664e-10
Minimum-1.7563300132751465
Maximum1.6657798290252686
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:13.744251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.756330013
5-th percentile-1.587877482
Q1-0.9145423621
median0.06694337726
Q30.8774914145
95-th percentile1.483588064
Maximum1.665779829
Range3.422109842
Interquartile range (IQR)1.792033777

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)8043009930
Kurtosis-1.2041263
Mean1.243315637e-10
Median Absolute Deviation (MAD)0.8809388578
Skewness-0.07608507799
Sum6.216578186e-08
Variance1.000000003
2020-08-25T00:34:13.851371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0628661140810.2%
 
0.149496123210.2%
 
0.374661624410.2%
 
-0.306751012810.2%
 
-1.46544730710.2%
 
0.795226573910.2%
 
-0.220291316510.2%
 
-0.270661741510.2%
 
1.10804235910.2%
 
-1.1861687910.2%
 
-0.0492749586710.2%
 
0.534499108810.2%
 
-0.0721836835110.2%
 
-0.184829786410.2%
 
-1.17057490310.2%
 
0.735681474210.2%
 
1.44836175410.2%
 
-1.64519214610.2%
 
1.07683408310.2%
 
-1.03777313210.2%
 
-1.12237918410.2%
 
1.29950261110.2%
 
-0.180748596810.2%
 
1.22138524110.2%
 
-0.518896222110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.75633001310.2%
 
-1.74499654810.2%
 
-1.74353814110.2%
 
-1.7397526510.2%
 
-1.73085010110.2%
 
-1.72798240210.2%
 
-1.71778225910.2%
 
-1.70653212110.2%
 
-1.68157112610.2%
 
-1.6778708710.2%
 
ValueCountFrequency (%) 
1.66577982910.2%
 
1.66139078110.2%
 
1.65423917810.2%
 
1.63916134810.2%
 
1.63392353110.2%
 
1.63390195410.2%
 
1.63126945510.2%
 
1.61489474810.2%
 
1.61234784110.2%
 
1.61217737210.2%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.641696482896805e-09
Minimum-1.7997170686721802
Maximum1.7095017433166504
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:13.968229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.799717069
5-th percentile-1.587928277
Q1-0.8081104755
median-0.01343454188
Q30.8658676445
95-th percentile1.563244796
Maximum1.709501743
Range3.509218812
Interquartile range (IQR)1.67397812

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)378544623.2
Kurtosis-1.128573356
Mean2.641696483e-09
Median Absolute Deviation (MAD)0.8304242915
Skewness0.003799308658
Sum1.320848241e-06
Variance0.9999999993
2020-08-25T00:34:14.075105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.47655904310.2%
 
1.22786426510.2%
 
0.705955922610.2%
 
0.776685118710.2%
 
0.907372951510.2%
 
1.58831250710.2%
 
-0.255533337610.2%
 
1.43033695210.2%
 
1.36784565410.2%
 
1.40690839310.2%
 
-0.0468347035310.2%
 
0.553067743810.2%
 
0.313643455510.2%
 
1.40497124210.2%
 
1.07467114910.2%
 
-1.14911866210.2%
 
-0.162934124510.2%
 
-1.5866204510.2%
 
0.482079684710.2%
 
1.60817384710.2%
 
-0.357247918810.2%
 
0.9349174510.2%
 
0.657575845710.2%
 
-0.819127321210.2%
 
-1.09693813310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.79971706910.2%
 
-1.7921515710.2%
 
-1.78089821310.2%
 
-1.76338636910.2%
 
-1.75900638110.2%
 
-1.74531829410.2%
 
-1.74351990210.2%
 
-1.73666274510.2%
 
-1.73616445110.2%
 
-1.72491574310.2%
 
ValueCountFrequency (%) 
1.70950174310.2%
 
1.70220816110.2%
 
1.70176565610.2%
 
1.69529116210.2%
 
1.69064998610.2%
 
1.68798518210.2%
 
1.67593836810.2%
 
1.67428183610.2%
 
1.66835415410.2%
 
1.66302573710.2%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3972166925668717e-09
Minimum-1.7106903791427612
Maximum1.7270889282226562
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:14.190476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.710690379
5-th percentile-1.528358263
Q1-0.8480799496
median-0.03837418556
Q30.8829527348
95-th percentile1.571880275
Maximum1.727088928
Range3.437779307
Interquartile range (IQR)1.731032684

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-715708598.1
Kurtosis-1.22774299
Mean-1.397216693e-09
Median Absolute Deviation (MAD)0.8930570781
Skewness0.02150668361
Sum-6.986083463e-07
Variance1.000000001
2020-08-25T00:34:14.294741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.69817435710.2%
 
0.807966291910.2%
 
0.791341900810.2%
 
-1.68815660510.2%
 
-1.25847196610.2%
 
-1.29363071910.2%
 
0.864591479310.2%
 
-0.488448351610.2%
 
1.45770549810.2%
 
-1.26044273410.2%
 
-1.64112925510.2%
 
-0.671244084810.2%
 
1.02608358910.2%
 
1.0612411510.2%
 
0.872418701610.2%
 
0.870467603210.2%
 
-0.117420241210.2%
 
1.60416805710.2%
 
-1.00071132210.2%
 
0.501334428810.2%
 
0.788703441610.2%
 
-0.738645017110.2%
 
1.69748067910.2%
 
-1.30395185910.2%
 
1.5125042210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71069037910.2%
 
-1.70850002810.2%
 
-1.70210039610.2%
 
-1.6994991310.2%
 
-1.68994319410.2%
 
-1.68815660510.2%
 
-1.68736910810.2%
 
-1.67903244510.2%
 
-1.67139494410.2%
 
-1.66974699510.2%
 
ValueCountFrequency (%) 
1.72708892810.2%
 
1.72271549710.2%
 
1.71627509610.2%
 
1.71089851910.2%
 
1.70521831510.2%
 
1.70149767410.2%
 
1.69817435710.2%
 
1.69748067910.2%
 
1.68689036410.2%
 
1.67966580410.2%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2461096048355103e-09
Minimum-1.7450711727142334
Maximum1.767202377319336
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:14.411946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.745071173
5-th percentile-1.556489313
Q1-0.8514093608
median0.03228874691
Q30.8174875677
95-th percentile1.552192318
Maximum1.767202377
Range3.51227355
Interquartile range (IQR)1.668896928

Descriptive statistics

Standard deviation0.9999999979
Coefficient of variation (CV)802497624.6
Kurtosis-1.142432258
Mean1.246109605e-09
Median Absolute Deviation (MAD)0.8293250203
Skewness0.01655771822
Sum6.230548024e-07
Variance0.9999999959
2020-08-25T00:34:14.515927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.627929270310.2%
 
0.964212179210.2%
 
-0.06388339410.2%
 
1.74092447810.2%
 
-1.13541996510.2%
 
-1.27604842210.2%
 
-0.0661165192710.2%
 
1.49284756210.2%
 
0.87630951410.2%
 
-0.836634755110.2%
 
-0.368485122910.2%
 
0.254734158510.2%
 
0.308274924810.2%
 
0.2117553810.2%
 
-1.65889322810.2%
 
1.36201965810.2%
 
-1.60621774210.2%
 
0.100266821710.2%
 
1.48885428910.2%
 
1.67453539410.2%
 
-0.124067552410.2%
 
0.95768600710.2%
 
-1.27219700810.2%
 
1.1386033310.2%
 
0.480371564610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74507117310.2%
 
-1.74133992210.2%
 
-1.73366177110.2%
 
-1.72942876810.2%
 
-1.72710704810.2%
 
-1.72162020210.2%
 
-1.71880781710.2%
 
-1.71093475810.2%
 
-1.70699095710.2%
 
-1.69001877310.2%
 
ValueCountFrequency (%) 
1.76720237710.2%
 
1.76526141210.2%
 
1.76234781710.2%
 
1.759841810.2%
 
1.75151324310.2%
 
1.74953305710.2%
 
1.74741435110.2%
 
1.74092447810.2%
 
1.73132967910.2%
 
1.71993029110.2%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.954147592186928e-09
Minimum-1.6982977390289309
Maximum1.7534524202346802
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:14.790855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.698297739
5-th percentile-1.558817279
Q1-0.8933698088
median0.02960515581
Q30.8409319967
95-th percentile1.55131039
Maximum1.75345242
Range3.451750159
Interquartile range (IQR)1.734301805

Descriptive statistics

Standard deviation0.9999999973
Coefficient of variation (CV)-511732072.5
Kurtosis-1.181394349
Mean-1.954147592e-09
Median Absolute Deviation (MAD)0.8638142888
Skewness0.02199872978
Sum-9.770737961e-07
Variance0.9999999946
2020-08-25T00:34:14.895741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0135548142710.2%
 
1.01237595110.2%
 
0.709205806310.2%
 
-1.63538873210.2%
 
-0.83340680610.2%
 
-0.780588030810.2%
 
1.30922532110.2%
 
0.210095375810.2%
 
0.358783751710.2%
 
0.819573879210.2%
 
0.0365191698110.2%
 
0.231282606710.2%
 
1.54848587510.2%
 
-0.95137268310.2%
 
-0.391766339510.2%
 
-0.412763297610.2%
 
-1.18822097810.2%
 
1.7447911510.2%
 
-1.6471544510.2%
 
1.21161460910.2%
 
0.78061348210.2%
 
1.23701095610.2%
 
-0.984687387910.2%
 
0.342946201610.2%
 
-0.575543224810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.69829773910.2%
 
-1.69742631910.2%
 
-1.69523131810.2%
 
-1.68433105910.2%
 
-1.68279731310.2%
 
-1.67549204810.2%
 
-1.67213869110.2%
 
-1.66464686410.2%
 
-1.66249644810.2%
 
-1.66207659210.2%
 
ValueCountFrequency (%) 
1.7534524210.2%
 
1.74501061410.2%
 
1.7447911510.2%
 
1.72771954510.2%
 
1.72111415910.2%
 
1.7209194910.2%
 
1.71732807210.2%
 
1.707053910.2%
 
1.70559847410.2%
 
1.70491814610.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4959368925815398e-09
Minimum-2.470366954803467
Maximum3.213239908218384
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:34:15.010756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.470366955
5-th percentile-1.796908557
Q1-0.6387364715
median0.09582815692
Q30.6941725016
95-th percentile1.436169839
Maximum3.213239908
Range5.683606863
Interquartile range (IQR)1.332908973

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)668477398.3
Kurtosis0.08040188079
Mean1.495936893e-09
Median Absolute Deviation (MAD)0.6434019096
Skewness-0.1452925942
Sum7.479684463e-07
Variance1.000000004
2020-08-25T00:34:15.111828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.612304449110.2%
 
0.537431836110.2%
 
-0.179273128510.2%
 
-0.92450791610.2%
 
-0.022287277510.2%
 
0.0531804971410.2%
 
-0.0871962010910.2%
 
0.667298138110.2%
 
1.18493235110.2%
 
0.607413113110.2%
 
0.650702655310.2%
 
0.0790188685110.2%
 
-1.1021971710.2%
 
-1.64321327210.2%
 
0.722975969310.2%
 
0.394205331810.2%
 
0.248866394210.2%
 
0.883140385210.2%
 
0.677086412910.2%
 
0.771813452210.2%
 
-2.25132226910.2%
 
-1.00457024610.2%
 
0.741545379210.2%
 
0.495279133310.2%
 
0.794491469910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.47036695510.2%
 
-2.44347858410.2%
 
-2.33825373610.2%
 
-2.30265545810.2%
 
-2.25132226910.2%
 
-2.25004887610.2%
 
-2.23610067410.2%
 
-2.2152357110.2%
 
-2.19134259210.2%
 
-2.19013881710.2%
 
ValueCountFrequency (%) 
3.21323990810.2%
 
2.92396569310.2%
 
2.90452766410.2%
 
2.81953954710.2%
 
2.56676459310.2%
 
2.56548547710.2%
 
2.40910625510.2%
 
2.28980064410.2%
 
2.19374108310.2%
 
2.03157901810.2%
 

Interactions

2020-08-25T00:33:11.132345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:11.274186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:11.418242image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:11.560228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:11.700527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:11.841426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:11.994183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:12.134018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:12.278772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:12.418629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:12.726417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:12.866035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:13.003596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:13.147978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:13.293917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:13.433600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:13.572645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:13.723560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:13.873877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.021157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.155484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.295795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.438707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.579091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.714142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.851171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:14.991634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:15.132326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:15.275041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:15.413821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:15.555426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:15.693791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:15.826747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:15.970571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:16.109085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:16.248105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:16.387576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:16.527367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:16.665225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:16.967770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:17.107599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:17.248288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:17.390530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:17.533003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:17.673781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:17.814152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:17.954270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:18.093753image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:18.236104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:18.377391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:18.518988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:18.660174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:18.792556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:18.938164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:19.080736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:19.217858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:19.356309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:19.496215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:19.633581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:19.771863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:19.907317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:20.050103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:20.188645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:20.326330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:20.465681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:20.607604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:20.748985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:20.890038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:21.200939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:21.340371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:21.480160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:21.620534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:21.755087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:21.898170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:22.037440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:22.176460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:33:52.504022image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:52.644060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:52.782187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:52.927255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:53.066866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:53.205885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:53.353546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:53.493349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:53.639991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:53.779944image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:53.916548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:54.066730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:54.205903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:54.346428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:54.488607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:54.629501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:54.769867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:54.909268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:55.206054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:55.343980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:55.484035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:55.625969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:55.763226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:55.900896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:56.039621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:56.178713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:56.322448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:56.460822image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:56.600628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:56.739109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:56.876336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:57.040252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:57.179316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:57.316986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:57.502459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:57.670689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:57.809067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:57.948042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:58.082553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:58.220509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:58.359913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:58.505029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:58.651495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:58.793170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:58.932256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:59.068661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:59.211443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:59.518970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:59.660199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:59.798689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:33:59.933014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:00.075603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:00.214995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:00.354454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:00.492370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:00.627204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:00.769779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:00.908820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:01.043498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:01.190264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:01.328657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:01.467657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:01.607014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:01.747692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:01.891316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:02.033350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:02.179675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:02.318914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:02.470924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:02.606953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:02.740711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:02.885887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:03.026015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:03.162926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:03.300401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:03.434751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:03.739060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:03.876170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.011883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.150749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.291871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.431319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.572065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.712637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.852064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:04.990235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:05.134386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:05.276593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:05.416187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:05.555521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:05.688205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:05.833685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:05.972397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:06.110776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:06.249774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:06.388035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:06.527030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:06.666621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:06.801497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:06.935508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:07.068013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:07.200845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:07.337392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:07.470632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:07.608130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:07.908537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.045555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.178544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.311672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.444558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.571537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.722558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.856711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:08.989938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:09.122032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:09.255067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:09.389412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:09.522996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:34:15.258632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:34:15.561414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:34:15.862541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:34:16.167648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:34:09.799373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:10.259555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
0-0.332899-1.315265-1.478850-0.8576860.508823-0.0838720.8889850.126622-0.776352-0.0978140.740201-1.0361671.5110021.0939061.136105-0.006198-0.2542840.8268960.6659020.249989
10.264519-1.325876-1.3475030.9683331.016247-1.5117520.042568-1.6445611.3418130.400458-1.1482960.053738-1.7942090.610974-0.7792800.8737241.227779-0.915005-0.9113980.508817
21.507624-0.750227-1.302327-0.0482911.5927420.5188070.836944-0.337141-0.294377-0.459139-0.7819900.1229720.168066-1.6588460.736380-1.042801-0.672988-0.685770-0.0333231.093294
30.023267-0.565294-0.431941-1.140576-0.2838471.174656-1.1328860.0299520.835145-1.4232660.867074-1.334941-1.538337-1.343865-1.037773-0.6824151.4095730.0820070.0447100.079019
40.929363-1.2895591.388106-0.0901690.0024080.1952481.6806701.2475531.103176-1.000690-0.029842-0.2633130.0987210.5794210.896963-0.330350-0.784377-1.388497-1.5392201.022743
5-0.965159-1.1417250.2669251.3788571.1407110.2877870.086827-1.030701-0.700291-1.361614-1.334889-0.1385510.1931161.6930970.195020-0.985546-0.7437661.447304-0.8334070.924658
6-0.397505-0.204874-1.279973-0.442920-0.451677-1.054750-1.148860-1.7126991.2884680.5842190.057094-0.524019-1.6229191.2123311.137669-0.685460-0.671244-1.729429-0.041510-0.283669
70.3583330.9434191.397917-0.9691061.0470460.943616-0.4777451.570679-0.7314301.2805200.406863-0.262097-0.714357-0.7418480.6038580.0106221.348529-1.1130611.5677311.365409
80.0697460.9387750.004131-0.263180-0.424459-1.4082031.1771531.081649-0.9579711.6523421.0172153.4167540.4746560.3586311.030892-1.7997171.4520750.549898-0.2339952.819540
90.900670-1.332693-1.0592581.613946-1.607373-0.097815-0.909220-0.5341451.3308061.2183160.564340-1.059569-0.2986230.5082790.3721340.0891880.8645910.2428080.1587940.832578

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
490-1.6430060.649276-0.7900810.7468461.580469-1.278463-0.0116770.440767-0.4109740.4381280.060540-0.8156490.504261-0.0721750.5345210.533595-1.1041150.077337-1.3039140.478498
4910.8921701.027429-1.4416051.686300-1.5821380.9873840.612030-0.904672-1.2107570.311663-0.516224-0.3573230.662120-1.127230-1.183601-0.6129460.7193030.7276981.1878960.257760
4921.547697-0.564532-0.9720791.146914-0.7805520.0092091.7523900.933204-0.703330-1.362226-0.3491850.2840201.1717461.0436401.229965-1.109909-0.177719-0.5406280.5662801.413718
493-0.8310231.238491-0.967783-1.452954-0.896089-0.3236600.8393720.7525331.7767040.789935-1.5862551.457545-1.7664950.761739-0.4646741.0817670.7057190.413345-1.2178251.189173
4941.3040810.867146-0.2940131.355690-1.7115440.5984930.5721420.0751310.232444-0.370757-1.5939151.142138-0.374482-0.705055-0.7068800.0519310.359907-0.9982580.255105-1.834098
495-1.356506-0.9135500.5277920.5964291.2190160.144902-0.4542030.2981790.741255-0.8787710.346012-1.223735-0.0686110.8238781.076834-1.085951-1.502085-1.1382060.2100950.938578
4961.0569031.230135-1.1851311.185887-1.5313100.253906-0.5619570.8090060.846315-1.227944-0.080257-0.1175830.137810-1.1297560.1386520.3551521.4471551.502805-0.022939-1.549534
497-0.640356-1.364947-1.1193681.3944800.8960870.2782730.7176430.043448-1.3192491.1205870.0442970.5285460.3865560.3089941.592626-1.743520-0.827559-1.3442591.1298361.493698
4980.7047371.596574-0.5456940.5563590.932138-0.449089-0.165500-0.2244830.4255990.282969-1.5986130.638597-1.269612-1.0820461.357570-0.043538-1.597682-1.1255810.2287651.507149
4991.030490-1.345231-1.1140701.0685740.9566851.111771-1.143720-1.5808871.387911-0.7384480.7499901.378120-0.6421751.6294620.3853420.141807-1.203220-1.375534-1.639664-0.759167